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[HTML][HTML] Landslide susceptibility map** using machine learning: A literature survey
Landslide is a devastating natural disaster, causing loss of life and property. It is likely to
occur more frequently due to increasing urbanization, deforestation, and climate change …
occur more frequently due to increasing urbanization, deforestation, and climate change …
[HTML][HTML] Digital post-disaster risk management twinning: A review and improved conceptual framework
Digital Twins (DT) is the real-time virtual representation of systems, communities, cities, or
even human beings with the substantial potential to revolutionize post-disaster risk …
even human beings with the substantial potential to revolutionize post-disaster risk …
[HTML][HTML] Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate …
Forest fires pose a significant threat to ecosystems and socio-economic activities,
necessitating the development of accurate predictive models for effective management and …
necessitating the development of accurate predictive models for effective management and …
LogRF: An approach to human pose estimation using skeleton landmarks for physiotherapy fitness exercise correction
Human pose and gesture estimation are crucial in correcting physiotherapy fitness
exercises. In recent years, advancements in computer vision and machine learning …
exercises. In recent years, advancements in computer vision and machine learning …
Novel ensemble machine learning modeling approach for groundwater potential map** in Parbhani District of Maharashtra, India
Groundwater is an essential source of water especially in arid and semi-arid regions of the
world. The demand for water due to exponential increase in population has created stresses …
world. The demand for water due to exponential increase in population has created stresses …
Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms
Z Chen, D Song - International Journal of Digital Earth, 2023 - Taylor & Francis
Landslides are one of the most common geological hazards worldwide, especially in
Sichuan Province (Southwest China). The current study's main purposes are to explore the …
Sichuan Province (Southwest China). The current study's main purposes are to explore the …
[HTML][HTML] Develo** flood map** procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania
Study region Prahova river basin located in the central-southern region of Romania. Study
focus This study aims to assess the susceptibility to flooding by using state-of-the-art …
focus This study aims to assess the susceptibility to flooding by using state-of-the-art …
Game-theoretic optimization of landslide susceptibility map**: a comparative study between Bayesian-optimized basic neural network and new generation neural …
Landslide susceptibility map** is essential for reducing the risk of landslides and ensuring
the safety of people and infrastructure in landslide-prone areas. However, little research has …
the safety of people and infrastructure in landslide-prone areas. However, little research has …
Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms
Riverbank erosion is one of the most catastrophic hazards that renders floodplains
vulnerable across the world vulnerable. It creates a significant negative impact on the …
vulnerable across the world vulnerable. It creates a significant negative impact on the …
A novel evolutionary combination of artificial intelligence algorithm and machine learning for landslide susceptibility map** in the west of Iran
Y Shen, A Ahmadi Dehrashid, RA Bahar… - … Science and Pollution …, 2023 - Springer
Detecting and map** landslides are crucial for effective risk management and planning.
With the great progress achieved in applying optimized and hybrid methods, it is necessary …
With the great progress achieved in applying optimized and hybrid methods, it is necessary …